Senior Data Scientist

AbbVie•North Chicago, IL

4d•$84,500 - $162,000

About The Position

AbbVie’s Operations Quality Data Analytics group develops Quality, Product, and Process analytics to support data-driven insights and decisions across the organization. The Senior Data Scientist works across Operations to build and oversee predictive and prescriptive models using statistical and machine-learning methodologies. The role is responsible for end-to-end delivery of data science applications, studies, and proofs of concept, including oversight of project teams and technology partnerships. It works with data scientists, senior functional leaders, business partners, and other teams across AbbVie, and includes coaching and mentoring junior team members.

Requirements

Bachelor’s degree in a quantitative field such as Advanced Analytics, Statistics, Engineering, Operational Research, Computer Science, or Econometrics, and/or an applied science field such as Chemistry, Pharmacy, Chemical Engineering, or Biology.
At least 6 years of business experience in business analytics, manufacturing data analytics, data mining, or statistical modeling in a cGMP-related industry.
Knowledge of global regulatory requirements for pharmaceutical, medical device, and combination products.
Ability to conduct analytical investigations methodically and produce reproducible insights and analyses.
Demonstrated proficiency with at least one statistical programming package, such as R, SAS, JMP, or Minitab.
Proficiency in SQL, cloud architecture, database administration, and relational database management, including the ability to create automated ETL processes and data models.
Strong problem-solving and interpersonal skills, and ability to work with diverse teams including data engineers, IT, and business analytics teams.
Strong written and verbal communication skills and attention to detail.

Nice To Haves

Master’s degree.
Manufacturing life science experience.
Knowledge of FDA Quality Systems, pharmaceutical products, and Medical Device Reporting regulations (21 CFR 803, 820, and 211).
Familiarity with Python, SQL, relational databases such as Teradata or Oracle, and/or BI tools such as Power BI or Qlik Sense.
Experience with data visualization and pipelining tools such as Spotfire, Tableau, or Pipeline Pilot.
Experience with automated statistical process control platforms such as Discoverant, Statistica, or NWA.
Lean Six Sigma Green Belt or Black Belt certification.

Responsibilities

Work cross-functionally and collaboratively with data scientists, senior functional leaders, and business partners.
Consult with business users to analyze requirements and recommend solutions that anticipate the future impact of changing business needs.
Develop advanced analytical models and techniques using supervised and unsupervised machine learning, statistical analysis, deep learning, predictive modeling, and generative AI.
Build stakeholder relationships and collaborate with other statistical and data science teams across AbbVie.
Coach and mentor team members, including junior colleagues.
Maintain the integrity of studies and stakeholder presentations, and ensure each work product is fit for purpose across multiple use cases.
Participate in functional innovation and process improvement initiatives when assigned.
Ensure adherence to federal and applicable local regulations, GMPs, ICH Guidelines, AbbVie SOPs, and functional quality standards; stay informed about evolving local regulations, guidelines, and policies related to clinical development.
Identify business needs and support the creation of standard KPIs, reports, and statistical analyses.
Oversee end-to-end delivery of assigned data science applications, studies, and proofs of concept, including project teams and technology partnerships.